Spokeo

Sales Engineer

• Own the Technical Side of the Sales Process
• Partner closely with Account Executives to support opportunities from early discovery through close
• Lead technical discovery conversations to understand customer goals, constraints, and success criteria
• Conduct live product demonstrations and tailored technical presentations to showcase Spokeo’s offerings
• Act as the primary technical point of contact for prospects during the evaluation process
• Design and deliver tailored product demonstrations aligned to customer use cases and business outcomes
• Clearly articulate technical concepts to both technical and non-technical stakeholders, including executives
• Address security, architecture, and integration questions with confidence and clarity
• Recommend and design solutions that meet customer requirements while aligning with product capabilities
• Support or lead proofs-of-concept (POC) to validate technical fit and demonstrate value
• Contribute to technical responses for RFPs, RFIs, and security questionnaires
• Provide technical guidance that accelerates deal velocity and improves win rates
• Enable sales teams with product knowledge, use cases, and competitive positioning
• Share field feedback with Product and Engineering to influence roadmap and improvements

Engineering Manager

• Lead and manage data engineers to build data solutions for business intelligence needs
• Lead a cross-functional team in building a data analytics platform
• Collaborate with data scientists, analysts, product managers, and executives to understand and fulfill data needs
• Lead database development, data pipeline, integration, ETL, modeling, and data architecture using AWS technologies
• Define and manage SLA’s for all data sets and reporting processes
• Develop software engineering best practices and procedures
• Document, automate, and enforce data quality, data integrity, and QA best practices

Data Engineering Manager

Full-stack Engineer

• Develop and implement AI-driven automation tools that streamline operations and workflows across multiple teams.
• Leverage context engineering and prompt engineering to optimize AI performance
• Develop Retrieval-Augmented Generation (RAG) systems to enhance information retrieval relevance.
• Stay on the leading edge with the latest developments in automation technologies, machine learning, and AI, recommending and integrating advancements into Spokeo’s engineering team and operations.
• Develop and deploy Agentic AI systems.
• Analyze and optimize AI performance; ensure AI systems are efficient, scalable, and reliable.
• Collaborate with data scientists, product managers, and other software developers on cross-functional teams.

Senior Software Developer, API

• Lead a small team of engineers with opportunities to expand your management scope
• Benefit from a supportive management structure with minimal politics, where delegation and autonomy are valued
• Own a significant area of the codebase and drive architectural direction
• Contribute directly to spokeo.com and its millions of visitors with frequent releases and a path toward continuous deployment
• Shape our development process and influence code quality standards
• Work daily with technologies such as Ruby on Rails, React, Node.js, CSS, RSpec, Elasticsearch, and SQL

Software Development Manager

Data Analyst

• Analyze and optimize SEO performance using a variety of tools
• Research customer behavior in our data lake using PySpark on Databricks
• Develop SEO dashboards in Tableau and ensure accurate reporting
• Partner with cross-functional Scrum teams to test and improve SEO strategies
• Identify technical SEO opportunities and provide data-backed recommendations
• Stay ahead of SEO and GEO trends, algorithm updates, and competitor strategies
• Communicate insights clearly to business and executive stakeholders

Senior SEO Data Analyst

Data Engineer

• Develop, optimize, and improve data systems such as ETL data, pipeline, storage, and entity resolution
• Build infrastructure and data automation pipelines for the ingestion, processing, and loading of data from various sources
• Automate and integrate new components into the data pipeline
• Collaborate with stakeholders and data science teams to develop data products
• Design, build, and maintain scalable data pipelines and infrastructure for machine learning workflows
• Create unit and stress test components to monitor technical performance
• Develop data analysis tools to provide data insights and capture key metrics
• Follow best practices for data governance, quality, cleansing, and other ETL-related activities

Sales Engineer

Data Engineering Manager

Senior Software Developer, API

Software Development Manager

Senior SEO Data Analyst

Senior Data Engineer